Extensive Study on Automatic Verb Sense Disambiguation in Czech

  • Jiří Semecký
  • Petr Podveský
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)


In this paper we compare automatic methods for disambiguation of verb senses, in particular we investigate Naïve Bayes classifier, decision trees, and a rule-based method. Different types of features are proposed, including morphological, syntax-based, idiomatic, animacy, and WordNet-based features. We evaluate the methods together with individual feature types on two essentially different Czech corpora, VALEVAL and the Prague Dependency Treebank. The best performing methods and features are discussed.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jiří Semecký
    • 1
  • Petr Podveský
    • 1
  1. 1.Institute of Formal and Applied LinguisticsPragueCzech Republic

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